Triple
T22939720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibbenbüren |
E569686
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lehen
Lehen is a district or neighborhood within the German town of Ibbenbüren in North Rhine-Westphalia.
|
E1562607
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lehen | Statement: [Ibbenbüren, hasSubdivision, Lehen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lehen Context triple: [Ibbenbüren, hasSubdivision, Lehen]
-
A.
Leisi
Leisi is a small settlement located on the island of Saaremaa in western Estonia.
-
B.
Heltau
Heltau is the German name for the town of Cisnădie in Sibiu County, Romania, historically part of the Transylvanian Saxon region.
-
C.
Ettan
Ettan is the third tier of the Swedish football league system, sitting below Superettan and above the regional lower divisions.
-
D.
Ettan
Ettan is a classic Swedish snus brand, known as one of the oldest and most traditional smokeless tobacco products in Sweden.
-
E.
Lleó
Lleó is a Spanish-language surname of Catalan origin borne by various individuals, including Cuban jurist and former president Manuel Urrutia Lleó.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lehen Triple: [Ibbenbüren, hasSubdivision, Lehen]
Generated description
Lehen is a district or neighborhood within the German town of Ibbenbüren in North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lehen Target entity description: Lehen is a district or neighborhood within the German town of Ibbenbüren in North Rhine-Westphalia.
-
A.
Leisi
Leisi is a small settlement located on the island of Saaremaa in western Estonia.
-
B.
Heltau
Heltau is the German name for the town of Cisnădie in Sibiu County, Romania, historically part of the Transylvanian Saxon region.
-
C.
Ettan
Ettan is the third tier of the Swedish football league system, sitting below Superettan and above the regional lower divisions.
-
D.
Ettan
Ettan is a classic Swedish snus brand, known as one of the oldest and most traditional smokeless tobacco products in Sweden.
-
E.
Lleó
Lleó is a Spanish-language surname of Catalan origin borne by various individuals, including Cuban jurist and former president Manuel Urrutia Lleó.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813844b88190b05d3829b0c423c4 |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc252cae48190bd7407dd38a21b19 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc455519c8190971c20082604846c |
completed | May 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc533510c8190a286a7ebb1e7c3b7 |
completed | May 19, 2026, 2:04 a.m. |
Created at: April 17, 2026, 3:45 p.m.